AI rally data layer stocks - follows evolving financial market trends and investor reaction across Wall Street. Wedbush Securities analyst Dan Ives told CNBC that Anthropic's near-trillion-dollar valuation is only the beginning of the AI investment wave, calling on investors to turn attention to data layer companies such as Snowflake, Datadog, and InnoData. He reiterated a prediction for the Nasdaq to top 30,000 points by 2027, anticipating a historic period ahead of a raft of mega-IPOs expected in 2026.
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AI rally data layer stocks - follows evolving financial market trends and investor reaction across Wall Street. Predictive tools often serve as guidance rather than instruction. Investors interpret recommendations in the context of their own strategy and risk appetite. Dan Ives, managing director at Wedbush Securities, appeared on CNBC's "Squawk Box Europe" on Friday to discuss the accelerating AI rally. He highlighted Anthropic's latest valuation of approximately $965 billion after the company secured $65 billion in funding on Thursday. Ives described this milestone as "just the tip of the spear," suggesting that investor appetite for artificial intelligence companies is far from satisfied. Ives noted that "for the first time in 30 years, the U.S. is ahead of China" on technology, positioning American AI firms as global leaders. He advised investors to look beyond pure-play AI names and focus on what he called the "second, third, fourth derivative" of AI spending — specifically data infrastructure companies. Examples cited include Snowflake, Datadog, and InnoData, along with Dell Technologies, which he mentioned as evidence of where enterprise spending is flowing. The analyst also reaffirmed a broader market call he had made in earlier CNBC interviews: a forecast for the Nasdaq Composite to surpass 30,000 points by 2027. He described the coming period as "historic" for Wall Street, particularly with a wave of large initial public offerings expected to hit the market in 2026.
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Key Highlights
AI rally data layer stocks - follows evolving financial market trends and investor reaction across Wall Street. Observing correlations between markets can reveal hidden opportunities. For example, energy price shifts may precede changes in industrial equities, providing actionable insight. The key takeaway from Ives' commentary is that the AI investment cycle may be entering a new phase — one where infrastructure and data layer providers capture a growing share of capital. Anthropic's $65 billion funding round and near-trillion-dollar valuation underscore the immense scale of private market interest in AI, yet Ives suggests that public market opportunities lie in the supporting ecosystem. Data warehousing and analytics platforms like Snowflake, monitoring tools like Datadog, and specialized data firms such as InnoData could benefit as enterprises expand their AI capabilities. Dell's recent performance, touched on by Ives, may reflect increasing corporate spending on hardware and storage needed to run AI workloads. The forecast for a Nasdaq above 30,000 implies a sustained rally driven by technology sector growth, though such projections remain speculative. The reference to a busy IPO pipeline in 2026 hints at a potential shift in market dynamics, with private AI companies possibly seeking public listings. However, the timing and valuation of those offerings would depend on market conditions and regulatory factors.
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Expert Insights
AI rally data layer stocks - follows evolving financial market trends and investor reaction across Wall Street. Data-driven decision-making does not replace judgment. Experienced traders interpret numbers in context to reduce errors. From an investment perspective, Ives' remarks suggest that the AI theme remains a dominant force in equity markets, but the focus may be broadening. Caution is warranted — while data layer companies could see increased demand, their valuations already reflect high growth expectations. The Nasdaq target of 30,000 by 2027, if realized, would imply a roughly 80% gain from current levels, a scenario that would likely require sustained earnings momentum and favorable macroeconomic conditions. The geopolitical angle — the U.S. leading China in technology for the first time in three decades — adds a layer of strategic importance to AI investments. Trade policies, export controls, and competitive dynamics could influence which companies benefit most. Investors might monitor upcoming mega-IPOs in 2026 as a barometer of market sentiment, but no specific timing or performance can be guaranteed. Overall, Ives' outlook paints a picture of an AI-driven market evolution, with potential opportunities across infrastructure, data, and hardware. However, as with any concentrated thematic bet, diversification and risk management remain prudent. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice.
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